Current species classification methods largely steer clear of images containing partial, deformed, compounded or overlapped plant features [1]}. Consequently, suitable databases for tree species classification using natural images - images of complex, natural scenes [2]} - are scarce. Even so, iNaturalist [3]} boasts an expanding collection of global biodiversity observations, prompting the compilation of species classification datasets [4]}. Accordingly, we compile a tree species dataset using iNaturalist. Our dataset is undoubtedly more challenging than existing plant classification datasets consisting of images with single isolated tree attributes [5]}, [6]}.
